import json
import os
import os.path
import pkgutil
import shutil
import subprocess
import tempfile
from io import StringIO

import numpy as np

from gym import error, logger


def touch(path):
    open(path, "a").close()


class VideoRecorder:
    """VideoRecorder renders a nice movie of a rollout, frame by frame. It
    comes with an `enabled` option so you can still use the same code
    on episodes where you don't want to record video.

    Note:
        You are responsible for calling `close` on a created
        VideoRecorder, or else you may leak an encoder process.

    Args:
        env (Env): Environment to take video of.
        path (Optional[str]): Path to the video file; will be randomly chosen if omitted.
        base_path (Optional[str]): Alternatively, path to the video file without extension, which will be added.
        metadata (Optional[dict]): Contents to save to the metadata file.
        enabled (bool): Whether to actually record video, or just no-op (for convenience)
    """

    def __init__(self, env, path=None, metadata=None, enabled=True, base_path=None):
        modes = env.metadata.get("render_modes", [])

        # backward-compatibility mode:
        backward_compatible_mode = env.metadata.get("render.modes", [])
        if len(modes) == 0 and len(backward_compatible_mode) > 0:
            logger.deprecation(
                '`env.metadata["render.modes"] is marked as deprecated and will be replaced with `env.metadata["render_modes"]` '
                "see https://github.com/openai/gym/pull/2654 for more details"
            )
            modes = backward_compatible_mode

        self._async = env.metadata.get("semantics.async")
        self.enabled = enabled
        self._closed = False

        # Don't bother setting anything else if not enabled
        if not self.enabled:
            return

        self.ansi_mode = False
        if "rgb_array" not in modes:
            if "ansi" in modes:
                self.ansi_mode = True
            else:
                logger.info(
                    f'Disabling video recorder because {env} neither supports video mode "rgb_array" nor "ansi".'
                )
                # Whoops, turns out we shouldn't be enabled after all
                self.enabled = False
                return

        if path is not None and base_path is not None:
            raise error.Error("You can pass at most one of `path` or `base_path`.")

        self.last_frame = None
        self.env = env

        required_ext = ".json" if self.ansi_mode else ".mp4"
        if path is None:
            if base_path is not None:
                # Base path given, append ext
                path = base_path + required_ext
            else:
                # Otherwise, just generate a unique filename
                with tempfile.NamedTemporaryFile(
                    suffix=required_ext, delete=False
                ) as f:
                    path = f.name
        self.path = path

        path_base, actual_ext = os.path.splitext(self.path)

        if actual_ext != required_ext:
            hint = (
                " HINT: The environment is text-only, therefore we're recording its text output in a structured JSON format."
                if self.ansi_mode
                else ""
            )
            raise error.Error(
                f"Invalid path given: {self.path} -- must have file extension {required_ext}.{hint}"
            )
        # Touch the file in any case, so we know it's present. (This
        # corrects for platform platform differences. Using ffmpeg on
        # OS X, the file is precreated, but not on Linux.
        touch(path)

        self.frames_per_sec = env.metadata.get("render_fps", 30)
        self.output_frames_per_sec = env.metadata.get("render_fps", self.frames_per_sec)

        # backward-compatibility mode:
        self.backward_compatible_frames_per_sec = env.metadata.get(
            "video.frames_per_second", self.frames_per_sec
        )
        self.backward_compatible_output_frames_per_sec = env.metadata.get(
            "video.output_frames_per_second", self.output_frames_per_sec
        )
        if self.frames_per_sec != self.backward_compatible_frames_per_sec:
            logger.deprecation(
                '`env.metadata["video.frames_per_second"] is marked as deprecated and will be replaced with `env.metadata["render_fps"]` '
                "see https://github.com/openai/gym/pull/2654 for more details"
            )
            self.frames_per_sec = self.backward_compatible_frames_per_sec
        if self.output_frames_per_sec != self.backward_compatible_output_frames_per_sec:
            logger.deprecation(
                '`env.metadata["video.output_frames_per_second"] is marked as deprecated and will be replaced with `env.metadata["render_fps"]` '
                "see https://github.com/openai/gym/pull/2654 for more details"
            )
            self.output_frames_per_sec = self.backward_compatible_output_frames_per_sec

        self.encoder = None  # lazily start the process
        self.broken = False

        # Dump metadata
        self.metadata = metadata or {}
        self.metadata["content_type"] = (
            "video/vnd.openai.ansivid" if self.ansi_mode else "video/mp4"
        )
        self.metadata_path = f"{path_base}.meta.json"
        self.write_metadata()

        logger.info("Starting new video recorder writing to %s", self.path)
        self.empty = True

    @property
    def functional(self):
        return self.enabled and not self.broken

    def capture_frame(self):
        """Render the given `env` and add the resulting frame to the video."""
        if not self.functional:
            return
        if self._closed:
            logger.warn(
                "The video recorder has been closed and no frames will be captured anymore."
            )
            return
        logger.debug("Capturing video frame: path=%s", self.path)

        render_mode = "ansi" if self.ansi_mode else "rgb_array"
        frame = self.env.render(mode=render_mode)

        if frame is None:
            if self._async:
                return
            else:
                # Indicates a bug in the environment: don't want to raise
                # an error here.
                logger.warn(
                    "Env returned None on render(). Disabling further rendering for video recorder by marking as disabled: path=%s metadata_path=%s",
                    self.path,
                    self.metadata_path,
                )
                self.broken = True
        else:
            self.last_frame = frame
            if self.ansi_mode:
                self._encode_ansi_frame(frame)
            else:
                self._encode_image_frame(frame)

    def close(self):
        """Flush all data to disk and close any open frame encoders."""
        if not self.enabled or self._closed:
            return

        if self.encoder:
            logger.debug("Closing video encoder: path=%s", self.path)
            self.encoder.close()
            self.encoder = None
        else:
            # No frames captured. Set metadata, and remove the empty output file.
            os.remove(self.path)

            if self.metadata is None:
                self.metadata = {}
            self.metadata["empty"] = True

        # If broken, get rid of the output file, otherwise we'd leak it.
        if self.broken:
            logger.info(
                "Cleaning up paths for broken video recorder: path=%s metadata_path=%s",
                self.path,
                self.metadata_path,
            )

            # Might have crashed before even starting the output file, don't try to remove in that case.
            if os.path.exists(self.path):
                os.remove(self.path)

            if self.metadata is None:
                self.metadata = {}
            self.metadata["broken"] = True

        self.write_metadata()

        # Stop tracking this for autoclose
        self._closed = True

    def write_metadata(self):
        with open(self.metadata_path, "w") as f:
            json.dump(self.metadata, f)

    def __del__(self):
        # Make sure we've closed up shop when garbage collecting
        self.close()

    def _encode_ansi_frame(self, frame):
        if not self.encoder:
            self.encoder = TextEncoder(self.path, self.frames_per_sec)
            self.metadata["encoder_version"] = self.encoder.version_info
        self.encoder.capture_frame(frame)
        self.empty = False

    def _encode_image_frame(self, frame):
        if not self.encoder:
            self.encoder = ImageEncoder(
                self.path, frame.shape, self.frames_per_sec, self.output_frames_per_sec
            )
            self.metadata["encoder_version"] = self.encoder.version_info

        try:
            self.encoder.capture_frame(frame)
        except error.InvalidFrame as e:
            logger.warn("Tried to pass invalid video frame, marking as broken: %s", e)
            self.broken = True
        else:
            self.empty = False


class TextEncoder:
    """Store a moving picture made out of ANSI frames. Format adapted from
    https://github.com/asciinema/asciinema/blob/master/doc/asciicast-v1.md"""

    def __init__(self, output_path, frames_per_sec):
        self.output_path = output_path
        self.frames_per_sec = frames_per_sec
        self.frames = []

    def capture_frame(self, frame):
        string = None
        if isinstance(frame, str):
            string = frame
        elif isinstance(frame, StringIO):
            string = frame.getvalue()
        else:
            raise error.InvalidFrame(
                f"Wrong type {type(frame)} for {frame}: text frame must be a string or StringIO"
            )

        frame_bytes = string.encode("utf-8")

        if frame_bytes[-1:] != b"\n":
            raise error.InvalidFrame(f'Frame must end with a newline: """{string}"""')

        if b"\r" in frame_bytes:
            raise error.InvalidFrame(
                f'Frame contains carriage returns (only newlines are allowed: """{string}"""'
            )

        self.frames.append(frame_bytes)

    def close(self):
        # frame_duration = float(1) / self.frames_per_sec
        frame_duration = 0.5

        # Turn frames into events: clear screen beforehand
        # https://rosettacode.org/wiki/Terminal_control/Clear_the_screen#Python
        # https://rosettacode.org/wiki/Terminal_control/Cursor_positioning#Python
        clear_code = b"%c[2J\033[1;1H" % (27)
        # Decode the bytes as UTF-8 since JSON may only contain UTF-8
        events = [
            (
                frame_duration,
                (clear_code + frame.replace(b"\n", b"\r\n")).decode("utf-8"),
            )
            for frame in self.frames
        ]

        # Calculate frame size from the largest frames.
        # Add some padding since we'll get cut off otherwise.
        height = max(frame.count(b"\n") for frame in self.frames) + 1
        width = (
            max(max(len(line) for line in frame.split(b"\n")) for frame in self.frames)
            + 2
        )

        data = {
            "version": 1,
            "width": width,
            "height": height,
            "duration": len(self.frames) * frame_duration,
            "command": "-",
            "title": "gym VideoRecorder episode",
            "env": {},  # could add some env metadata here
            "stdout": events,
        }

        with open(self.output_path, "w") as f:
            json.dump(data, f)

    @property
    def version_info(self):
        return {"backend": "TextEncoder", "version": 1}


class ImageEncoder:
    def __init__(self, output_path, frame_shape, frames_per_sec, output_frames_per_sec):
        self.proc = None
        self.output_path = output_path
        # Frame shape should be lines-first, so w and h are swapped
        h, w, pixfmt = frame_shape
        if pixfmt != 3 and pixfmt != 4:
            raise error.InvalidFrame(
                "Your frame has shape {}, but we require (w,h,3) or (w,h,4), i.e., RGB values for a w-by-h image, with an optional alpha channel.".format(
                    frame_shape
                )
            )
        self.wh = (w, h)
        self.includes_alpha = pixfmt == 4
        self.frame_shape = frame_shape
        self.frames_per_sec = frames_per_sec
        self.output_frames_per_sec = output_frames_per_sec

        if shutil.which("avconv") is not None:
            self.backend = "avconv"
        elif shutil.which("ffmpeg") is not None:
            self.backend = "ffmpeg"
        elif pkgutil.find_loader("imageio_ffmpeg"):
            import imageio_ffmpeg

            self.backend = imageio_ffmpeg.get_ffmpeg_exe()
        else:
            raise error.DependencyNotInstalled(
                """Found neither the ffmpeg nor avconv executables. On OS X, you can install ffmpeg via `brew install ffmpeg`. On most Ubuntu variants, `sudo apt-get install ffmpeg` should do it. On Ubuntu 14.04, however, you'll need to install avconv with `sudo apt-get install libav-tools`. Alternatively, please install imageio-ffmpeg with `pip install imageio-ffmpeg`"""
            )

        self.start()

    @property
    def version_info(self):
        return {
            "backend": self.backend,
            "version": str(
                subprocess.check_output(
                    [self.backend, "-version"], stderr=subprocess.STDOUT
                )
            ),
            "cmdline": self.cmdline,
        }

    def start(self):
        self.cmdline = (
            self.backend,
            "-nostats",
            "-loglevel",
            "error",  # suppress warnings
            "-y",
            # input
            "-f",
            "rawvideo",
            "-s:v",
            "{}x{}".format(*self.wh),
            "-pix_fmt",
            ("rgb32" if self.includes_alpha else "rgb24"),
            "-framerate",
            "%d" % self.frames_per_sec,
            "-i",
            "-",  # this used to be /dev/stdin, which is not Windows-friendly
            # output
            "-vf",
            "scale=trunc(iw/2)*2:trunc(ih/2)*2",
            "-vcodec",
            "libx264",
            "-pix_fmt",
            "yuv420p",
            "-r",
            "%d" % self.output_frames_per_sec,
            self.output_path,
        )

        logger.debug('Starting %s with "%s"', self.backend, " ".join(self.cmdline))
        if hasattr(os, "setsid"):  # setsid not present on Windows
            self.proc = subprocess.Popen(
                self.cmdline, stdin=subprocess.PIPE, preexec_fn=os.setsid
            )
        else:
            self.proc = subprocess.Popen(self.cmdline, stdin=subprocess.PIPE)

    def capture_frame(self, frame):
        if not isinstance(frame, (np.ndarray, np.generic)):
            raise error.InvalidFrame(
                f"Wrong type {type(frame)} for {frame} (must be np.ndarray or np.generic)"
            )
        if frame.shape != self.frame_shape:
            raise error.InvalidFrame(
                f"Your frame has shape {frame.shape}, but the VideoRecorder is configured for shape {self.frame_shape}."
            )
        if frame.dtype != np.uint8:
            raise error.InvalidFrame(
                f"Your frame has data type {frame.dtype}, but we require uint8 (i.e. RGB values from 0-255)."
            )

        try:
            self.proc.stdin.write(frame.tobytes())
        except Exception:
            stdout, stderr = self.proc.communicate()
            logger.error("VideoRecorder encoder failed: %s", stderr)

    def close(self):
        self.proc.stdin.close()
        ret = self.proc.wait()
        if ret != 0:
            logger.error(f"VideoRecorder encoder exited with status {ret}")
